Using time-varying tolls to optimize truck arrivals at ports

An analytical point-wise stationary approximation model is proposed to analyze time-dependent truck queuing processes with stochastic service time distributions at gates and yards of a port terminal. A convex nonlinear programming model is developed which minimizes the total truck turn time and discomfort due to shifted arrival times. A two-phase optimization approach is used to first compute a system-optimal truck arrival pattern, and then find a desirable pattern of time-varying tolls that leads to the optimal arrival pattern. Numerical experiments are conducted to test the computational efficiency and accuracy of the proposed optimization models.

• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1366554511000433
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Chen, Xiaoming
  • Zhou, Xuesong
  • List, George
• Publication Date: 2011-11

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 965-982
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 47
  • Issue Number: 6
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Marine terminals; Optimization; Port operations; Queuing theory; Stochastic processes; Time dependence; Truck traffic; Variable tolls
• Uncontrolled Terms: Truck turnaround time
• Subject Areas: Administration and Management; Data and Information Technology; Freight Transportation; Marine Transportation; Terminals and Facilities; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01351799
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Sep 14 2011 11:12AM